Robot Foundation Models / VLA

Robot foundation models are large neural networks pre-trained on broad robot and internet data that can be adapted to many tasks, robots and instructions.

Classic robot software is rebuilt for every task. A foundation model aims to reuse one pre-trained network across tasks, embodiments and environments.

If generalist policies keep improving, robots could be instructed in language and fine-tuned with little data instead of being programmed task by task.